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Improving Scanned Binary Image Watermarking Based On Additive Model and Sampling

Ping Wang, Xiangyang Luo, Chunfang Yang and Fenlin Liu
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Ping Wang: Zhengzhou Science and Technology Institute, Zhengzhou, China
Xiangyang Luo: Science and Technology on Information Assurance Laboratory, Beijing, China
Chunfang Yang: State Key Laboratory of Mathematical Engineering and Advanced Computing, Zhengzhou, China
Fenlin Liu: Zhengzhou Science and Technology Institute, Zhengzhou, China

International Journal of Digital Crime and Forensics (IJDCF), 2016, vol. 8, issue 2, 36-47

Abstract: The SBWBAMS (Scanned Binary Image Watermarking Based on Additive Model and Sampling) algorithm proposed by Hou et al. owns strong robustness to the process of printing and scanning process. However, because the embedding strength used in the algorithm is set artificially, watermark information may not be correctly embedded into binary image when the embedding strength is low. Firstly, the minimum embedding strength to embed watermark correctly is analyzed in this paper, and then an improved binary image watermarking algorithm based on adaptive embedding strength is proposed. The proposed algorithm adjusts embedding strength adaptively according to image content, ensuring that the embedded watermark information is correct. The experimental results show that the proposed algorithm can not only embed and extract the watermark information correctly, but also still own strong robustness to the process of printing and scanning process.

Date: 2016
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